CN107357782A - One kind identification user's property method for distinguishing and terminal - Google Patents
One kind identification user's property method for distinguishing and terminal Download PDFInfo
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Abstract
The embodiment of the invention discloses one kind identification user's property method for distinguishing and terminal, wherein method to include：Acquisition needs list of application to be identified corresponding to the other user of identity；The Apply Names included to the list of application to be identified carries out cutting word processing, obtains lexical item collection to be identified；According to the lexical item collection to be identified, default male's lexical item collection and default women lexical item collection, the gender information of the user is determined.The embodiment of the present invention using default male's lexical item collection corresponding to the user of known gender and default women lexical item by being integrated as reference frame, identify the sex of the user corresponding to list of application to be identified, reference sample existing sex error in itself can be reduced, user's sex is accurately identified, improves the degree of accuracy of identification user's sex.
Description
Technical field
The present invention relates to electronic technology field, more particularly to a kind of identification user's property method for distinguishing and terminal.
Background technology
In the prior art, the method for obtaining the gender data of user is typically：User is obtained in registrer application
The personal information filled in during the account of (Application, App), gender information is extracted from the personal information got, from
And determine the sex of the user.
However, this individual filled in based on user in the account of registrer application (Application, App)
Gender information in data determines the property method for distinguishing of user, can not accurately obtain the gender data of user.
For example, when user is not desired to reveal the true sex of oneself, sex is believed in the personal information filled in by user
Cease wrong and cause the gender information obtained according to personal information inaccurate.
The content of the invention
The embodiment of the present invention provides a kind of identification user's property method for distinguishing and terminal, can accurately identify user's sex.
In a first aspect, the embodiments of the invention provide one kind to identify user's property method for distinguishing, this method includes：
Acquisition needs list of application to be identified corresponding to the other user of identity；
The Apply Names included to the list of application to be identified carries out cutting word processing, obtains lexical item collection to be identified；
According to the lexical item collection to be identified, default male's lexical item collection and the default women lexical item collection,
Determine the gender information of the user.
On the other hand, the embodiments of the invention provide a kind of terminal, the terminal to include：
First acquisition unit, need list of application to be identified corresponding to the other user of identity for obtaining；
Second acquisition unit, the Apply Names for being included to the list of application to be identified carry out cutting word processing, obtained
Lexical item collection to be identified；
Recognition unit, for according to the lexical item collection to be identified, default male's lexical item collection and described default
Women lexical item collection, determine the gender information of the user.
The third aspect, the embodiments of the invention provide another terminal, including processor, input equipment, output equipment and
Memory, the processor, input equipment, output equipment and memory are connected with each other, wherein, the memory is used to store branch
The computer program that terminal performs the above method is held, the computer program includes programmed instruction, and the processor is configured to use
In calling described program instruction, the method for performing above-mentioned first aspect.
Fourth aspect, the embodiments of the invention provide a kind of computer-readable recording medium, the computer-readable storage medium
Computer program is stored with, the computer program includes programmed instruction, and described program instruction makes institute when being executed by a processor
The method for stating the above-mentioned first aspect of computing device.
The embodiment of the present invention needs list of application to be identified corresponding to the other user of identity by obtaining；Wait to know to described
The Apply Names that other list of application includes carries out cutting word processing, obtains lexical item collection to be identified；According to the lexical item to be identified
Collection, default male's lexical item collection and the default women lexical item collection, determine the gender information of the user.Terminal with
Default male's lexical item collection corresponding to the user of known gender and default women lexical item integrate as reference frame, and identification is treated
The sex of the user corresponding to list of application is identified, reference sample existing sex error in itself can be reduced, accurately identify use
Family sex, improve the degree of accuracy of identification user's sex.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, it is required in being described below to embodiment to use
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, general for this area
For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow diagram for identifying user's property method for distinguishing provided in an embodiment of the present invention；
A kind of schematic flow diagram for identification user property method for distinguishing that Fig. 2 another embodiment of the present invention provides；
Fig. 3 is a kind of schematic block diagram of terminal provided in an embodiment of the present invention；
Fig. 4 is a kind of terminal schematic block diagram that another embodiment of the present invention provides；
Fig. 5 is a kind of terminal schematic block diagram that yet another embodiment of the invention provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, rather than whole embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
It should be appreciated that ought be in this specification and in the appended claims in use, term " comprising " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but it is not precluded from one or more of the other feature, whole
Body, step, operation, element, component and/or its presence or addition for gathering.
It is also understood that the term used in this description of the invention is merely for the sake of the mesh for describing specific embodiment
And be not intended to limit the present invention.As used in description of the invention and appended claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singulative, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and appended claims is
Refer to any combinations of one or more of the associated item listed and be possible to combine, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt
Be construed to " when ... " or " once " or " in response to determining " or " in response to detecting ".Similarly, phrase " if it is determined that " or
" if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true
It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In the specific implementation, the terminal described in the embodiment of the present invention is including but not limited to such as with touch sensitive surface
The mobile phone, laptop computer or tablet PC of (for example, touch-screen display and/or touch pad) etc it is other just
Portable device.It is to be further understood that in certain embodiments, the equipment is not portable communication device, but with tactile
Touch the desktop computer of sensing surface (for example, touch-screen display and/or touch pad).
In discussion below, the terminal including display and touch sensitive surface is described.It is, however, to be understood that
It is that terminal can include one or more of the other physical user-interface device of such as physical keyboard, mouse and/or control-rod.
Terminal supports various application programs, such as one or more of following：Drawing application program, demonstration application journey
Sequence, word-processing application, website create application program, disk imprinting application program, spreadsheet applications, game application
Program, telephony application, videoconference application, email application, instant messaging applications, exercise
Support application program, photo management application program, digital camera application program, digital camera application program, web-browsing application
Program, digital music player application and/or video frequency player application program.
The various application programs that can be performed in terminal can use at least one public of such as touch sensitive surface
Physical user-interface device.It can adjust and/or change among applications and/or in corresponding application programs and touch sensitive table
The corresponding information shown in the one or more functions and terminal in face.So, the public physical structure of terminal is (for example, touch
Sensing surface) the various application programs with user interface directly perceived and transparent for a user can be supported.
Fig. 1 is referred to, Fig. 1 is a kind of schematic flow diagram for identifying user's property method for distinguishing provided in an embodiment of the present invention.
The executive agent that user's property method for distinguishing is identified in the present embodiment is terminal, and terminal can be intelligent terminal or distribution
Terminal in formula cluster.Identification user property method for distinguishing as shown in Figure 1 may include following steps：
S101：Acquisition needs list of application to be identified corresponding to the other user of identity.
When needing to identify the sex of user, terminal can be by being implanted into application program (Application, App)
SDK (Software Development Kit, SDK) obtain the user used in user terminal pacified
The App lists of dress, the mounted App lists of user terminal are to need list of application to be identified corresponding to the other user of identity.
Wherein, terminal and user terminal used in the user can be same terminal, or different terminals.Treat
Identification list of application includes the Apply Names of mounted application program.Apply Names is App name, rather than App bag
Name.
S102：The Apply Names included to the list of application to be identified carries out cutting word processing, obtains lexical item to be identified
Collection.
The Apply Names that terminal is included using natural language recognition technology and participle technique to list of application to be identified enters
The processing of row cutting word, obtains lexical item collection to be identified corresponding to list of application to be identified.Lexical item collection refers to the set of lexical item, and lexical item can
To be single word or word, it is not limited herein.
For example, list of application to be identified includes " U.S. face camera ", " U.S.'s figure is elegant ", " youku.com ", " sword of hero " these App
When, the Apply Names progress cutting word that terminal-pair list of application to be identified includes handles to obtain " U.S. face ", " camera ", " U.S.'s figure ", " show
Show " ", " youku.com ", " sword of hero ", are { U.S. face, U.S. so as to obtain lexical item collection to be identified corresponding to list of application to be identified
Figure, youku.com, the sword of hero }.
S103：According to the lexical item collection to be identified, default male's lexical item collection and default women lexical item collection, it is determined that
The gender information of the user.
Terminal obtains default male's lexical item collection and default women lexical item collection in advance, and specifically, terminal can be from
Default male's lexical item collection and default women lexical item collection are obtained in presetting database.Presetting database can be local data
Storehouse or non-local data storehouse, are not limited herein.Default male's lexical item collection and default women lexical item collection can be with
Handled to obtain according to the data that sampling big data technology is collected.Default male's lexical item collection is for men by having determined as
The list of application for the application program that family is downloaded or used obtains, and default women lexical item collection is by having determined as female user
The list of application for the application program downloaded or used obtains.Default male's lexical item collection and default women lexical item collection are wrapped
The lexical item contained is the lexical item for having good men and women's separating capacity.
In one embodiment, terminal analysis lexical item collection to be identified, default male's lexical item collection and default female
Property lexical item collection, determines the first matching degree between lexical item collection to be identified and default male's lexical item collection, word to be identified respectively
The second matching degree between item collection and default women lexical item collection, determined according to the first matching degree and the second matching degree to be identified
Lexical item collection corresponding to user gender information.Wherein, when the first matching degree is more than the second matching degree, it is by the user's identification
Male user；It is female user by the user's identification when the first matching degree is less than the second matching degree.
In another embodiment, terminal can be entered according to default male's lexical item collection and default women lexical item collection
Row machine learning, gender prediction's model is trained, and the lexical item collection that the gender prediction's model prediction obtained by training is to be identified
The sex of corresponding user.For example, terminal can be according to default male's lexical item collection and default women lexical item collection training branch
Vector machine (Support Vector Machine, SVM) grader is held, lexical item collection to be identified is analyzed by SVM classifier, from
And draw the sex of user corresponding to lexical item collection to be identified.The training method of SVM classifier refers to tool of the prior art
Body implementation method, is not repeated herein.
In other embodiment mode, terminal can also be according to default male's lexical item collection and default women lexical item collection
Train other disaggregated models in addition to SVM classifier, such as Logic Regression Models.
Such scheme, terminal, which obtains, needs list of application to be identified corresponding to the other user of identity；To described to be identified
The Apply Names that list of application includes carries out cutting word processing, obtains lexical item collection to be identified；According to the lexical item collection to be identified,
Default male's lexical item collection and default women lexical item collection, determine the gender information of the user.Terminal is with known men and women's property
Default male's lexical item collection corresponding to other user and default women lexical item integrate as reference frame, identify application row to be identified
The sex of user corresponding to table, reference sample existing sex error in itself can be reduced, accurately identify user's sex, improved
Identify the degree of accuracy of user's sex.
Fig. 2 is referred to, Fig. 2 is a kind of schematic flow diagram for identifying user's property method for distinguishing provided in an embodiment of the present invention.
The executive agent that user's property method for distinguishing is identified in the present embodiment is terminal, and terminal can be intelligent terminal or distribution
Terminal in formula cluster.Identification user property method for distinguishing as shown in Figure 2 may include following steps：
S201：Acquisition needs list of application to be identified corresponding to the other user of identity.
When needing to identify the sex of user, terminal can be by being implanted into application program (Application, App)
SDK (Software Development Kit, SDK) obtain the user used in user terminal pacified
The App lists of dress, the mounted App lists of user terminal are to need list of application to be identified corresponding to the other user of identity.
Wherein, terminal and user terminal used in the user can be same terminal, or different terminals.Treat
Identification list of application includes the Apply Names of mounted application program.Apply Names is App name, rather than App bag
Name.
S202：The Apply Names included to the list of application to be identified carries out cutting word processing, obtains lexical item to be identified
Collection.
The Apply Names that terminal is included using natural language recognition technology and participle technique to list of application to be identified enters
The processing of row cutting word, obtains lexical item collection to be identified corresponding to list of application to be identified.Lexical item collection refers to the set of lexical item, and lexical item can
To be single word or word, it is not limited herein.
For example, list of application to be identified includes " U.S. face camera ", " U.S.'s figure is elegant ", " youku.com ", " sword of hero " these App
When, the Apply Names progress cutting word that terminal-pair list of application to be identified includes handles to obtain " U.S. face ", " camera ", " U.S.'s figure ", " show
Show " ", " youku.com ", " sword of hero ", are { U.S. face, U.S. so as to obtain lexical item collection to be identified corresponding to list of application to be identified
Figure, youku.com, the sword of hero }.
S203：Obtain default male's lexical item collection and default women lexical item collection.
The data that default male's lexical item collection and default women lexical item collection can be collected according to sampling big data technology
Handled to obtain.Default male's lexical item collection be the application program being downloaded or used by having determined as male user should
Obtained with list, default women lexical item collection is the application for the application program downloaded or used by having determined as female user
List obtains.The lexical item that default male's lexical item collection and default women lexical item collection are included is that there is good men and women to distinguish
The lexical item of ability.
Wherein, S201 and S203 order in no particular order, can first carry out S201, then perform S203；It can also first carry out
S203, then perform S201；S201 and S203 can also be performed simultaneously.
Alternatively, S203 can include S2031~S2034.
S2031：Second is pre- corresponding to first default list of application corresponding to acquisition male user and acquisition female user
If list of application.
For example, terminal obtains N1First list of application corresponding to individual male user and acquisition N2Corresponding to individual female user
Second default list of application.
First list of application is to have confirmed that the application program installed in sex terminal used in the user of male
List.Second list of application is the row for having confirmed that the application program installed in sex terminal used in the user of women
Table.N1And N2Can be with identical, can also be different, it is not limited herein.
Wherein, N1The App of the repetition included in individual first list of application title is not duplicate removal processing, N2Individual second application
The App of the repetition included in list title does not do duplicate removal processing.
S2032：The Apply Names included to the described first default list of application carries out cutting word processing, obtains the first lexical item
Collection, and the Apply Names included to the described second default list of application carry out cutting word processing, obtain the second lexical item collection.
Terminal is answered what all first default list of application included using natural language recognition technology and participle technique
Cutting word processing is carried out with title, obtains the first lexical item collection.When the first lexical item, which is concentrated, has repetition comprising lexical item, do not do at duplicate removal
Reason, retain dittograph item.
Terminal is answered what all second default list of application included using natural language recognition technology and participle technique
Cutting word processing is carried out with title, obtains the second lexical item collection.When the second lexical item, which is concentrated, has repetition comprising lexical item, do not do at duplicate removal
Reason, retain dittograph item.
S2033：Calculate the first lexical item and concentrate the first term frequency-inverse document frequency values corresponding to each lexical item, and calculate the
Two lexical items concentrate the second term frequency-inverse document frequency values corresponding to each lexical item.
Terminal calculates the first lexical item and concentrates word frequency (Term Frequency, TF) corresponding to each lexical item and inverse text respectively
Shelves frequency (Inverse Document Frequency, IDF), and calculate word frequency and inverse document frequency corresponding to each lexical item
Product, obtain the first term frequency-inverse document frequency values TF-IDF of each lexical item.
Wherein, word frequency TF represents that the lexical item concentrates the frequency occurred, word frequency in the first lexical itemTFi,jRepresent jth
Individual lexical item concentrates the word frequency of i-th of lexical item, niThe number that j-th of lexical item concentrates i-th of lexical item to occur is represented, m represents j-th of word
The lexical item sum included in item collection.
Inverse document frequency IDF refers to that the default list of application that fruit includes the lexical item is fewer, and IDF is bigger, then illustrates the lexical item
With good class discrimination ability.If a lexical item is concentrated in a lexical item and frequently occurred, illustrate that the lexical item can be very
The feature of the text of this lexical item collection is represented well, and such lexical item should assign higher weight to them, and select and be used as this
The Feature Words of the text of lexical item collection are to distinguish and other class lexical item collection.Wherein,
IDFiRepresent that j-th of lexical item concentrates the inverse document frequency of i-th of lexical item, | D | represent the default application in corpus
The sum of list, { j:ti∈djRepresent to include lexical item tiDefault list of application number.
J-th of lexical item concentrates the term frequency-inverse document frequency values TF-IDF of i-th of lexical itemi,j=TFi,j*IDFi。
For example, by N1The lexical item that the first lexical item collection that individual first default list of application (male's list of application) obtains includes is total
Number is 10000, and the number that lexical item " sword of hero " occurs is 500 times, then " sword of hero " this lexical item is in the first lexical item
Concentrate the word frequency TF=500/10000=0.02 of " sword of hero ".
If N2There are 100 second default list of applications to include word in individual second default list of application (women list of application)
Item " sword of hero ", then the first lexical item concentrates inverse document frequency the IDF=log ((N of " sword of hero "2+1)/(100+1))。N2
Amount as women.
First lexical item concentrates term frequency-inverse document frequency values the TF-IDF=TF*IDF=0.02*log ((N of " sword of hero "2
+1)/(100+1))。
Terminal calculates the first lexical item and concentrates term frequency-inverse document frequency corresponding to each lexical item respectively after the same method
Value, and calculate the second lexical item and concentrate term frequency-inverse document frequency values corresponding to each lexical item.
S2034：According to the first term frequency-inverse document frequency values and the second term frequency-inverse document frequency values, it is determined that
Default male's lexical item collection and default women lexical item collection.
Terminal term frequency-inverse document frequency values according to corresponding to the first lexical item concentrates each lexical item, and the second lexical item are concentrated
Term frequency-inverse document frequency values corresponding to each lexical item, determine default male's lexical item collection and default women lexical item collection.
Specifically, the first lexical item is concentrated term frequency-inverse document frequency values corresponding to each lexical item to be ranked up by terminal, is obtained
First sequencing information, and concentrate term frequency-inverse document frequency values corresponding to each lexical item to be ranked up the second lexical item, obtain the
Two sequencing informations.
Because the first lexical item collection and the second lexical item are concentrated, the term frequency-inverse document frequency values of lexical item are bigger, represent the lexical item
Gender's discrimination it is bigger, therefore, terminal can be concentrated from the first lexical item and by order from big to small take term frequency-inverse document
The larger lexical item of frequency values has the lexical item of discrimination as male, and is concentrated from the second lexical item and take term frequency-inverse document frequency values
Smaller lexical item is as lexical item of the women without discrimination, so as to which the lexical item and women that obtain having discrimination by male are without discrimination
The default male's lexical item collection of lexical item；Concentrated from the second lexical item takes term frequency-inverse document frequency values larger by order from big to small
Lexical item have the lexical item of discrimination as women, and concentrated from the first lexical item and take the smaller lexical item of term frequency-inverse document frequency values
As lexical item of the male without discrimination, so as to obtain being made up of the lexical item of lexical item and male without discrimination of discrimination women
Default women lexical item collection.
Taken out successively by the order of term frequency-inverse document frequency values from big to small for example, terminal can be concentrated from the first lexical item
The lexical item of first preset number, and concentrate from the second lexical item and taken successively by the order of term frequency-inverse document frequency values from small to large
Go out the lexical item of the second preset number, the lexical item of the lexical item of the first preset number and the second preset number is combined as default man
Property lexical item collection.First preset number can be more than the second preset number.First preset number can be 100, the second preset number
Can be 10.
Terminal can concentrate that by the order of term frequency-inverse document frequency values from big to small to take out the 3rd successively pre- from the second lexical item
If the lexical item of number, and concentrated from the first lexical item and take out the 4th successively by the order of term frequency-inverse document frequency values from small to large
The lexical item of preset number, the lexical item of the lexical item of the first preset number and the second preset number is combined as default male's lexical item
Collection.3rd preset number can be more than the 4th preset number.3rd preset number can be 100, and the 4th preset number can be
10。
The each lexical item and its association of corresponding term frequency-inverse document frequency values that terminal can concentrate lexical item preserve.
S204：According to the lexical item collection to be identified, default male's lexical item collection and the default women word
Item collection, determine the gender information of the user.
Alternatively, S204 can include S2041~S2045, or S2046~S2047.Wherein, S2041~S2045 is
Recognition methods based on Principle of Statistics, S2046~S2047 are the recognition methods based on sex Calculating model.Terminal is performing
During S203, S2041~S2045, or S2046~S2047 can be performed.
S2041：According to the lexical item collection to be identified and default male's lexical item collection, determine described to be identified
Lexical item concentrates the first number for including male's lexical item.
Terminal is concentrated when getting lexical item collection to be identified and default male's lexical item collection from default male's lexical item
The lexical item identical lexical item included with lexical item collection to be identified is searched, and counts the number of the identical lexical item found, and will
The number of the identical lexical item found is identified as lexical item to be identified and concentrates the first number for including male's lexical item.
S2042：According to the lexical item collection to be identified and the default women lexical item collection, determine described to be identified
Lexical item concentrates the second number for including women lexical item.
Terminal is concentrated when getting lexical item collection to be identified and default women lexical item collection from default women lexical item
The lexical item identical lexical item included with lexical item collection to be identified is searched, and counts the number of the identical lexical item found, and will
The number of the identical lexical item found is identified as lexical item to be identified and concentrates the second number for including women lexical item.
S2041 and S2042 is sequentially performed in no particular order.
S2043：If first number is more than second number, and first number is more than 1, then is identified as described
The sex of user is male.
Terminal is confirming first number of the lexical item concentration comprising male's lexical item to be identified more than lexical item concentration to be identified
The second number comprising women lexical item, and the first number be more than 1 when, it would be desirable to the other user's identification of identity is male user.
S2044：If first number is less than second number, and second number is more than 1, then is identified as described
The sex of user is women.
Terminal is confirming first number of the lexical item concentration comprising male's lexical item to be identified less than lexical item concentration to be identified
The second number comprising women lexical item, and the second number be more than 1 when, it would be desirable to the other user's identification of identity is female user.
S2045：If first number is more than second number, and first number is less than or equal to 1, then by institute
It is unknown subscriber to state user's identification；If or first number is less than second number, and second number is less than or waited
Then it is unknown subscriber by the user's identification in 1；Or if the first number is equal to second number, by the user's identification
For unknown subscriber.
First number and the second number are more than or equal to zero.When the first number is less than 1, the first number is 0.When second
When number is less than 1, the second number is 0.
Because now terminal can not determine the sex of user, for the user still to need the other user of identity, terminal can be with
When having performed S2045, perform S2047, with can list of application to be identified corresponding to the other user of identity as needed, knowledge
The not sex of the user.
S2046：Sex measuring and calculating mould is established according to default male's lexical item collection and the default women lexical item collection
Type.
Wherein, default male's lexical item collection and default women lexical item collection are by N1Individual first default list of application (male
List of application) and by N2Individual second default list of application (women list of application) obtains, N1：N2=1:1.
Terminal can establish the measuring and calculating of logistic regression sex according to default male's lexical item collection and default women lexical item collection
Model f (θ).Logistic regression sex Calculating model f (θ) can be equivalent to：
θ*=argmin (1 (θ)), θ*θ optimal value is represented, θ can be solved using gradient descent method*, it is specific as follows：
According to above formula iteration θ to convergence：θj:=θj+α(y(i)-hθ(x(i)))xj (i)
Wherein, x is the characteristic vector represented by the term frequency-inverse document frequency values of lexical item, and { male has the word of discrimination to x=
Characteristic vector, the women of item have the characteristic vector of the lexical item of characteristic vector, male without discrimination of the lexical item of discrimination, Nv Xingwu
The characteristic vector of the lexical item of discrimination }, y={ man, female }.h(x(i)) represent that ith is iterated to x, θTθ transposition is represented,
θj:Represent that iteration θ extremely restrains, θ=(negative, 1].
S2047：The sex for determining the user according to the sex Calculating model and the lexical item collection to be identified is believed
Breath.
Terminal calculates optimal θ corresponding to each lexical item of lexical item concentration to be identified according to logistic regression sex Calculating model
Value, the weighted value of lexical item collection to be identified is calculated according to θ values corresponding to each lexical item and term frequency-inverse document frequency values, should added
Weights are θ values corresponding to each lexical item and the sum of products of term frequency-inverse document frequency values.Weighted value ∈ [0,1].Wherein, treat
The computational methods of the term frequency-inverse document frequency values of each lexical item of lexical item collection of identification refer to S2033.
Terminal weighted value according to corresponding to lexical item collection to be identified determines the sex of user corresponding to lexical item collection to be identified
Information.When weighted value is more than or equal to predetermined threshold value corresponding to lexical item collection to be identified, by corresponding to lexical item collection to be identified
User's identification is male user.When weighted value is less than predetermined threshold value corresponding to lexical item collection to be identified, by lexical item to be identified
User's identification corresponding to integrating is female user.Predetermined threshold value can be 0.5, but be not limited to this, enter with specific reference to actual conditions
Row is set, and is not limited herein.
Such scheme, terminal, which obtains, needs list of application to be identified corresponding to the other user of identity；To described to be identified
The Apply Names that list of application includes carries out cutting word processing, obtains lexical item collection to be identified；Obtain default male's lexical item collection with
And default women lexical item collection；According to the lexical item collection to be identified, default male's lexical item collection and described default
Women lexical item collection, determine the gender information of the user.Terminal is with default male's word corresponding to the user of known gender
Item collection and default women lexical item integrate the sex for as reference frame, identifying the user corresponding to list of application to be identified, can
Reduce reference sample existing sex error in itself, accurately identify user's sex, improve the degree of accuracy of identification user's sex.
Terminal can identify user corresponding to lexical item collection to be identified based on Principle of Statistics, based on sex Calculating model
Gender information, the degree of accuracy of the Gender Classification of reference sample can be further improved, so as to further improve identification user's sex
The degree of accuracy.
Terminal can be waited to know when by Principle of Statistics None- identified user's sex by identifying based on sex Calculating model
The gender information of user corresponding to other lexical item collection, it is possible to increase the success rate of identification user's sex.
Referring to Fig. 3, Fig. 3 is a kind of schematic block diagram of terminal provided in an embodiment of the present invention.The terminal 3 of the present embodiment is wrapped
The each unit included is used to perform each step in embodiment corresponding to Fig. 1, referring specifically to embodiment corresponding to Fig. 1 and Fig. 1
In associated description, do not repeat herein.The terminal of the present embodiment includes：First acquisition unit 310, second acquisition unit 320 with
And recognition unit 330.
First acquisition unit 310, which is used for acquisition, needs list of application to be identified corresponding to the other user of identity.
The Apply Names that second acquisition unit 320 is used to include the list of application to be identified carries out cutting word processing, obtains
To lexical item collection to be identified.
Recognition unit 330 is used for according to the lexical item collection to be identified, default male's lexical item collection and described pre-
If women lexical item collection, determine the gender information of the user.
Such scheme, terminal, which obtains, needs list of application to be identified corresponding to the other user of identity；To described to be identified
The Apply Names that list of application includes carries out cutting word processing, obtains lexical item collection to be identified；According to the lexical item collection to be identified,
Default male's lexical item collection and the default women lexical item collection, determine the gender information of the user.Terminal is with
Know that default male's lexical item collection corresponding to the user of gender and default women lexical item integrate as reference frame, identify and wait to know
The sex of user corresponding to other list of application, reference sample existing sex error in itself can be reduced, accurately identify user
Sex, improve the degree of accuracy of identification user's sex.
Referring to Fig. 4, Fig. 4 is a kind of schematic block diagram for terminal that another embodiment of the present invention provides.The end of the present embodiment
The each unit that end 4 includes is used to perform each step in embodiment corresponding to Fig. 2, referring specifically to real corresponding to Fig. 2 and Fig. 2
The associated description in example is applied, is not repeated herein.The terminal of the present embodiment includes：First acquisition unit 410, second acquisition unit
420th, the 3rd acquiring unit 430 and recognition unit 440.
First acquisition unit 410, which is used for acquisition, needs list of application to be identified corresponding to the other user of identity.
The Apply Names that second acquisition unit 420 is used to include the list of application to be identified carries out cutting word processing, obtains
To lexical item collection to be identified.
3rd acquiring unit 430 is used to obtain default male's lexical item collection and default women lexical item collection.
Alternatively, the 3rd acquiring unit 430 can include list of application acquiring unit 431, lexical item collection acquiring unit 432,
Computing unit 433 and determining unit 434：
List of application acquiring unit 431, for obtaining the first default list of application corresponding to male user and obtaining female
Property the second default list of application corresponding to user；
Lexical item collection acquiring unit 432 is used to carry out at cutting word the Apply Names that the described first default list of application includes
Reason, obtains the first lexical item collection, and the Apply Names included to the described second default list of application carries out cutting word processing, obtains the
Two lexical item collection；
Computing unit 433 is used to calculate the first term frequency-inverse document frequency values corresponding to each lexical item of the first lexical item concentration, with
And calculate the second lexical item and concentrate the second term frequency-inverse document frequency values corresponding to each lexical item；
Determining unit 434 is used for according to the first term frequency-inverse document frequency values and second term frequency-inverse document frequency
Rate value, determine default male's lexical item collection and default women lexical item collection.
Recognition unit 440 is used for according to the lexical item collection to be identified, default male's lexical item collection and described pre-
If women lexical item collection, determine the gender information of the user.
Alternatively, recognition unit 440 can include the first statistic unit 441, the second statistic unit 442, first identification list
First 443, second recognition unit 444, the 3rd recognition unit 445；Or recognition unit 440 can establish unit 446 including model
And the 4th recognition unit 447.Wherein, when recognition unit 440 includes three recognition units 445, can also be built including model
The vertical recognition unit 447 of unit 446 and the 4th.
First statistic unit 441 is used for according to the lexical item collection to be identified and default male's lexical item collection, really
The fixed lexical item to be identified concentrates the first number for including male's lexical item.
Second statistic unit 442 is used for according to the lexical item collection to be identified and the default women lexical item collection, really
The fixed lexical item to be identified concentrates the second number for including women lexical item.
If the first recognition unit 443 is more than second number for first number, and first number is more than
1, then the sex for being identified as the user is male.
If the second recognition unit 444 is less than second number for first number, and second number is more than
1, then the sex for being identified as the user is women.
If the 3rd recognition unit 445 is more than second number for first number, and first number is less than
Or then it is unknown subscriber by the user's identification equal to 1；If or first number is less than second number, and described
Two numbers are more than or equal to 1, then are unknown subscriber by the user's identification；Or if the first number is equal to second number,
It is unknown subscriber by the user's identification.3rd recognition unit 445 sends lexical item collection to be identified to the 4th recognition unit
447。
Model establishes unit 446 and is used to be built according to default male's lexical item collection and the default women lexical item collection
Vertical sex Calculating model.
4th recognition unit 447 is used for according to determining the sex Calculating model and the lexical item collection to be identified
The gender information of user.
Such scheme, terminal, which obtains, needs list of application to be identified corresponding to the other user of identity；To described to be identified
The Apply Names that list of application includes carries out cutting word processing, obtains lexical item collection to be identified；Obtain default male's lexical item collection with
And default women lexical item collection；According to the lexical item collection to be identified, default male's lexical item collection and described default
Women lexical item collection, determine the gender information of the user.Terminal is with default male's word corresponding to the user of known gender
Item collection and default women lexical item integrate the sex for as reference frame, identifying the user corresponding to list of application to be identified, can
Reduce reference sample existing sex error in itself, accurately identify user's sex, improve the degree of accuracy of identification user's sex.
Terminal can identify user corresponding to lexical item collection to be identified based on Principle of Statistics, based on sex Calculating model
Gender information, the degree of accuracy of the Gender Classification of reference sample can be further improved, so as to further improve identification user's sex
The degree of accuracy.
Terminal can be waited to know when by Principle of Statistics None- identified user's sex by identifying based on sex Calculating model
The gender information of user corresponding to other lexical item collection, it is possible to increase the success rate of identification user's sex.
Referring to Fig. 5, Fig. 5 is a kind of terminal schematic block diagram that yet another embodiment of the invention provides.This implementation as depicted
Terminal 5 in example can include：One or more processors 501；One or more input equipments 502, one or more output
Equipment 503 and memory 504.Above-mentioned processor 501, input equipment 502, output equipment 503 and memory 504 pass through bus
1105 connections.Memory 502 is used to store computer program, and the computer program includes programmed instruction, and processor 501 is used for
Perform the programmed instruction that memory 502 stores.Wherein, processor 501 is arranged to call described program instruction to perform：
Acquisition needs list of application to be identified corresponding to the other user of identity；
The Apply Names included to the list of application to be identified carries out cutting word processing, obtains lexical item collection to be identified；
According to the lexical item collection to be identified, default male's lexical item collection and the default women lexical item collection,
Determine the gender information of the user.
Alternatively, processor 501 is specifically used for：According to the lexical item collection to be identified and default male's lexical item
Collection, determine that the lexical item to be identified concentrates the first number for including male's lexical item；According to the lexical item collection to be identified and
The default women lexical item collection, determine that the lexical item to be identified concentrates the second number for including women lexical item；If described
One number is more than second number, and first number is more than 1, then the sex for being identified as the user is male；If institute
State the first number and be less than second number, and second number is more than 1, then the sex for being identified as the user is women.
Alternatively, processor 501 also particularly useful for：If first number is more than second number, and described first
Number is less than or equal to 1, then is unknown subscriber by the user's identification；If or first number is less than second number,
And second number is less than or equal to 1, then is unknown subscriber by the user's identification；Or if the first number is equal to described second
Number, then it is unknown subscriber by the user's identification.
Alternatively, processor 501 also particularly useful for：According to default male's lexical item collection and the default women
Lexical item collection establishes sex Calculating model；The user is determined according to the sex Calculating model and the lexical item collection to be identified
Gender information.
Alternatively, processor 501 is additionally operable to：Obtain default male's lexical item collection and default women lexical item collection；It is described
Obtain default male's lexical item collection and default women lexical item collection specifically includes：Obtain corresponding to male user first it is default should
With list and obtain the second default list of application corresponding to female user；The application included to the described first default list of application
Title carries out cutting word processing, obtains the first lexical item collection, and the Apply Names included to the described second default list of application is carried out
Cutting word processing, obtains the second lexical item collection；Calculate the first lexical item and concentrate the first term frequency-inverse document frequency values corresponding to each lexical item,
And calculate the second lexical item and concentrate the second term frequency-inverse document frequency values corresponding to each lexical item；According to first word frequency-inverse text
Shelves frequency values and the second term frequency-inverse document frequency values, determine default male's lexical item collection and default women lexical item
Collection.
It should be appreciated that in embodiments of the present invention, alleged processor 501 can be CPU (Central
Processing Unit, CPU), the processor can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other FPGAs
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
It can also be any conventional processor etc. to manage device.
Input equipment 502 can include Trackpad, fingerprint adopt sensor (finger print information that is used to gathering user and fingerprint
Directional information), microphone etc., output equipment 503 can include display (LCD etc.), loudspeaker etc..
The memory 504 can include read-only storage and random access memory, and to processor 501 provide instruction and
Data.The a part of of memory 504 can also include nonvolatile RAM.For example, memory 504 can also be deposited
Store up the information of device type.
In the specific implementation, processor 501, input equipment 502, the output equipment 503 described in the embodiment of the present invention can
Perform the reality described in the first embodiment and second embodiment of identification user's property method for distinguishing provided in an embodiment of the present invention
Existing mode, the implementation of the terminal described by the embodiment of the present invention is also can perform, will not be repeated here.
Further, a kind of computer-readable recording medium, the computer are provided in another embodiment of the invention
Readable storage medium storing program for executing is stored with computer program, and the computer program includes programmed instruction, and described program is instructed by processor
Realized during execution：
The Apply Names included to the list of application to be identified carries out cutting word processing, obtains lexical item collection to be identified；
Obtain default male's lexical item collection and default women lexical item collection；
According to the lexical item collection to be identified, default male's lexical item collection and the default women lexical item collection,
Determine the gender information of the user.
Alternatively, can specifically be realized when the computer program is executed by processor：
According to the lexical item collection to be identified and default male's lexical item collection, the lexical item collection to be identified is determined
In include the first number of male's lexical item；
According to the lexical item collection to be identified and the default women lexical item collection, the lexical item collection to be identified is determined
In include the second number of women lexical item；
If first number is more than second number, and first number is more than 1, then is identified as the user's
Sex is male；
If first number is less than second number, and second number is more than 1, then is identified as the user's
Sex is women.
Alternatively, can specifically be realized when the computer program is executed by processor：If first number is more than institute
The second number is stated, and first number is less than or equal to 1, then is unknown subscriber by the user's identification；If or described first
Number is less than second number, and second number is less than or equal to 1, then is unknown subscriber by the user's identification；Or
It is unknown subscriber by the user's identification if the first number is equal to second number.
Alternatively, can also specifically be realized when the computer program is executed by processor：According to the default male
Lexical item collection and the default women lexical item collection establish sex Calculating model；According to the sex Calculating model and described treat
The lexical item collection of identification determines the gender information of the user.
Alternatively, can also be realized when the computer program is executed by processor：Acquisition needs the other user of identity
Corresponding list of application to be identified；
Wherein, the acquisition needs list of application to be identified corresponding to the other user of identity to specifically include：
Obtain the first default list of application corresponding to male user and obtain the second default application corresponding to female user
List；
The Apply Names included to the described first default list of application carries out cutting word processing, obtains the first lexical item collection, and
The Apply Names included to the described second default list of application carries out cutting word processing, obtains the second lexical item collection；
Calculate the first lexical item and concentrate the first term frequency-inverse document frequency values corresponding to each lexical item, and calculate the second lexical item
Concentrate the second term frequency-inverse document frequency values corresponding to each lexical item；
According to the first term frequency-inverse document frequency values and the second term frequency-inverse document frequency values, determine default
Male's lexical item collection and default women lexical item collection.
The computer-readable recording medium can be the internal storage unit of the terminal 5 described in foregoing any embodiment,
Such as the hard disk or internal memory of terminal 5.The computer-readable recording medium can also be the External memory equipment of the terminal, example
Such as the plug-in type hard disk being equipped with the terminal, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card) etc..Further, the computer-readable recording medium can also be wrapped both
Including the internal storage unit of the terminal also includes External memory equipment.The computer-readable recording medium is described for storing
Other programs and data needed for computer program and the terminal.The computer-readable recording medium can be also used for temporarily
When store the data that has exported or will export.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein
Member and algorithm steps, it can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, the composition and step of each example are generally described according to function in the above description.This
A little functions are performed with hardware or software mode actually, application-specific and design constraint depending on technical scheme.Specially
Industry technical staff can realize described function using distinct methods to each specific application, but this realization should not
Think beyond the scope of this invention.
It is apparent to those skilled in the art that for convenience of description and succinctly, the end of foregoing description
End and the specific work process of unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed terminal and method, it can be passed through
Its mode is realized.For example, device embodiment described above is only schematical, for example, the division of the unit, only
Only a kind of division of logic function, there can be other dividing mode when actually realizing, such as multiple units or component can be tied
Another system is closed or is desirably integrated into, or some features can be ignored, or do not perform.In addition, shown or discussed phase
Coupling or direct-coupling or communication connection between mutually can be INDIRECT COUPLING or the communication by some interfaces, device or unit
Connection or electricity, the connection of mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize scheme of the embodiment of the present invention according to the actual needs
Purpose.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
It is that unit is individually physically present or two or more units are integrated in a unit.It is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to be contributed in other words to prior art, or all or part of the technical scheme can be in the form of software product
Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the present invention
Portion or part steps.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, various equivalent modifications can be readily occurred in or replaced
Change, these modifications or substitutions should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection domain be defined.
Claims (10)
1. one kind identification user's property method for distinguishing, it is characterised in that including：
Acquisition needs list of application to be identified corresponding to the other user of identity；
The Apply Names included to the list of application to be identified carries out cutting word processing, obtains lexical item collection to be identified；
According to the lexical item collection to be identified, default male's lexical item collection and default women lexical item collection, the user is determined
Gender information.
2. according to the method for claim 1, it is characterised in that described according to the lexical item collection to be identified, default man
Property lexical item collection and default women lexical item collection, the gender information of the user is determined, including：
According to the lexical item collection to be identified and default male's lexical item collection, determine that the lexical item to be identified is concentrated comprising man
First number of property lexical item；
According to the lexical item collection to be identified and default women lexical item collection, determine that the lexical item to be identified is concentrated and include female
Second number of property lexical item；
If first number is more than second number, and first number is more than 1, then is identified as the sex of the user
For male；
If first number is less than second number, and second number is more than 1, then is identified as the sex of the user
For women.
3. according to the method for claim 2, it is characterised in that described according to the lexical item collection to be identified, default man
Property lexical item collection and default women lexical item collection, the gender information of the user is determined, in addition to：
If first number is more than second number, and first number is less than or equal to 1, then by the user's identification
For unknown subscriber；Or
If first number is less than second number, and second number is less than or equal to 1, then by the user's identification
For unknown subscriber；Or
It is unknown subscriber by the user's identification if the first number is equal to second number.
4. the method according to claim 1 or 3, it is characterised in that it is described according to the lexical item collection to be identified, it is default
Male's lexical item collection and default women lexical item collection, the gender information of the user is determined, including：
Sex Calculating model is established according to default male's lexical item collection and default women lexical item collection；
The gender information of the user is determined according to the sex Calculating model and the lexical item collection to be identified.
5. according to the method described in claim 1,2 or 3 any one, it is characterised in that methods described also includes：
Obtain the first default list of application corresponding to male user and obtain the second default list of application corresponding to female user；
The Apply Names included to the described first default list of application carries out cutting word processing, obtains the first lexical item collection, and to institute
State the Apply Names that the second default list of application includes and carry out cutting word processing, obtain the second lexical item collection；
Calculate the first lexical item and concentrate the first term frequency-inverse document frequency values corresponding to each lexical item, and calculate the second lexical item and concentrate
Second term frequency-inverse document frequency values corresponding to each lexical item；
According to the first term frequency-inverse document frequency values and the second term frequency-inverse document frequency values, default male is determined
Lexical item collection and default women lexical item collection.
A kind of 6. terminal, it is characterised in that including：
First acquisition unit, need list of application to be identified corresponding to the other user of identity for obtaining；
Second acquisition unit, the Apply Names for being included to the list of application to be identified carry out cutting word processing, obtain waiting to know
Other lexical item collection；
Recognition unit, for according to the lexical item collection to be identified, default male's lexical item collection and the default female
Property lexical item collection, determine the gender information of the user.
7. terminal according to claim 6, it is characterised in that the recognition unit includes：
First statistic unit, for according to the lexical item collection to be identified and default male's lexical item collection, it is determined that described wait to know
Other lexical item concentrates the first number for including male's lexical item；
Second statistic unit, for according to the lexical item collection to be identified and default women lexical item collection, it is determined that described wait to know
Other lexical item concentrates the second number for including women lexical item；
First recognition unit, if it is more than second number for first number, and first number is more than 1, then knows
Not Wei the sex of the user be male；
Second recognition unit, if it is less than second number for first number, and second number is more than 1, then knows
Not Wei the sex of the user be women；
3rd recognition unit, if it is more than second number for first number, and first number is less than or equal to
1, then it is unknown subscriber by the user's identification；If or first number is less than second number, and second number
Then it is unknown subscriber by the user's identification less than or equal to 1；Or if the first number is equal to second number, by described in
User's identification is unknown subscriber.
8. the terminal according to claim 6 or 7, it is characterised in that the recognition unit includes：
Model establishes unit, for establishing sex according to default male's lexical item collection and the default women lexical item collection
Calculating model；
4th recognition unit, for determining the user's according to the sex Calculating model and the lexical item collection to be identified
Gender information.
9. a kind of terminal, it is characterised in that the processor, defeated including processor, input equipment, output equipment and memory
Enter equipment, output equipment and memory to be connected with each other, wherein, the memory is used to store computer program, the computer
Program includes programmed instruction, and the processor is arranged to call described program instruction, performed such as any one of claim 1-5
Methods described.
A kind of 10. computer-readable recording medium, it is characterised in that the computer-readable storage medium is stored with computer program,
The computer program includes programmed instruction, and described program instruction makes the computing device such as right when being executed by a processor
It is required that any one of 1-5 methods described.
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| CN105653580A (en) * | 2015-12-18 | 2016-06-08 | 北京奇虎科技有限公司 | Feature information determination and judgment methods and devices as well as application method and system thereof |
| CN106778843A (en) * | 2016-11-30 | 2017-05-31 | 腾云天宇科技（北京）有限公司 | One kind prediction mobile terminal user's property method for distinguishing, server and system |
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| CN109241428A (en) * | 2018-09-05 | 2019-01-18 | 广州视源电子科技股份有限公司 | Determination method, apparatus, server and the storage medium of user's gender |
| CN112541010A (en) * | 2019-09-23 | 2021-03-23 | 银橙(上海)信息技术有限公司 | User gender prediction method based on logistic regression |
| CN112541010B (en) * | 2019-09-23 | 2023-05-23 | 银橙(上海)信息技术有限公司 | User gender prediction method based on logistic regression |
| CN110851759A (en) * | 2019-10-31 | 2020-02-28 | 上海连尚网络科技有限公司 | Method and equipment for identifying gender of new user |
| CN111161713A (en) * | 2019-12-20 | 2020-05-15 | 北京皮尔布莱尼软件有限公司 | Voice gender identification method and device and computing equipment |
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